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Searched refs:ANEURALNETWORKS_TENSOR_FLOAT32 (Results 1 – 13 of 13) sorted by relevance

/frameworks/ml/nn/runtime/test/
DTestValidateOperations.cpp44 ANEURALNETWORKS_TENSOR_FLOAT32,
448 operandTypesToSkip.insert(ANEURALNETWORKS_TENSOR_FLOAT32); in testMutatingInputOperandCode()
457 operandTypesToSkip.insert(ANEURALNETWORKS_TENSOR_FLOAT32); in testMutatingInputOperandCode()
458 } else if (originalOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32) { in testMutatingInputOperandCode()
497 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32)) { in testMutatingInputOperandCode()
505 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32 || in testMutatingInputOperandCode()
556 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32)) { in testMutatingOutputOperandCode()
571 newOperandCode == ANEURALNETWORKS_TENSOR_FLOAT32 || in testMutatingOutputOperandCode()
1049 argMinMaxTest(ANEURALNETWORKS_ARGMIN, ANEURALNETWORKS_TENSOR_FLOAT32); in TEST()
1057 argMinMaxTest(ANEURALNETWORKS_ARGMAX, ANEURALNETWORKS_TENSOR_FLOAT32); in TEST()
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DTestValidation.cpp73 uint32_t addTensorOperand(int32_t type = ANEURALNETWORKS_TENSOR_FLOAT32) { in addTensorOperand()
117 .type = ANEURALNETWORKS_TENSOR_FLOAT32,
123 .type = ANEURALNETWORKS_TENSOR_FLOAT32,
171 ANeuralNetworksOperandType tensorType{.type = ANEURALNETWORKS_TENSOR_FLOAT32, in SetUp()
319 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in addTensorOperand()
602 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
684 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
719 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in TEST_F()
943 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
990 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in TEST_F()
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DTestOperandExtraParams.cpp60 case ANEURALNETWORKS_TENSOR_FLOAT32: in createOperand()
138 ANEURALNETWORKS_TENSOR_FLOAT32,
DTestFree.cpp36 .type = ANEURALNETWORKS_TENSOR_FLOAT32, .dimensionCount = 1, .dimensions = dimensions}; in createUnfinishedModel()
DTestValidateModel.cpp44 operand_2.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
52 operand_3.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
60 operand_4.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
84 operand_7.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2414 operand_302.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2430 operand_304.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2438 operand_305.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2462 operand_308.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
2470 operand_309.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
3066 input_operand_0.type = ANEURALNETWORKS_TENSOR_FLOAT32; in TEST_F()
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DTestPartitioning.cpp668 case ANEURALNETWORKS_TENSOR_FLOAT32: in addOperand()
/frameworks/ml/nn/runtime/test/fibonacci_extension/
DFibonacciDriver.cpp75 inputType == ANEURALNETWORKS_TENSOR_FLOAT32); in validate()
77 outputType == ANEURALNETWORKS_TENSOR_FLOAT32); in validate()
DFibonacciExtensionTest.cpp126 ASSERT_EQ(inputType.operandType.type, ANEURALNETWORKS_TENSOR_FLOAT32); in addNopOperation()
/frameworks/ml/nn/common/
DUtilsTest.cpp119 .type = ANEURALNETWORKS_TENSOR_FLOAT32, in TEST()
/frameworks/ml/nn/runtime/include/
DNeuralNetworks.h76 ANEURALNETWORKS_TENSOR_FLOAT32 = 3, enumerator
DNeuralNetworksWrapper.h39 TENSOR_FLOAT32 = ANEURALNETWORKS_TENSOR_FLOAT32,
/frameworks/ml/nn/runtime/
DNeuralNetworks.cpp57 static_assert(ANEURALNETWORKS_TENSOR_FLOAT32 == 3, "ANEURALNETWORKS_TENSOR_FLOAT32 has changed");
272 static_assert(static_cast<int32_t>(OperandType::TENSOR_FLOAT32) == ANEURALNETWORKS_TENSOR_FLOAT32,
/frameworks/ml/nn/tools/api/
DNeuralNetworks.t364 * {@link ANEURALNETWORKS_TENSOR_FLOAT32} type must be aligned on 4-byte boundary.
1835 * Specifies whether {@link ANEURALNETWORKS_TENSOR_FLOAT32} is allowed to be
1837 * floating-point format. By default, {@link ANEURALNETWORKS_TENSOR_FLOAT32}
1845 * @param allow 'true' indicates {@link ANEURALNETWORKS_TENSOR_FLOAT32} may be
1848 * {@link ANEURALNETWORKS_TENSOR_FLOAT32} must be calculated using